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Overview of AWS Storage Services - S3, Glacier, NAS, Snowball. You will get an overview of the possible file storage services that you may chose to use in your AWS solution. You will also learn about different methods of ingesting large amounts of data on a one-time basis. You will learn about bandwidth consideration as it relates to file ingest as well.

- [Voiceover] Now we're gonna move on to database and files.…When you're planning your MVP,…you want to look at what is existing,…what's the size of it, what's the equality of it,…and you also need to consider often regulatory requirements.…So something that my customers find useful…is Amazon's information about compliance…and I'll take you over to that page quickly.…You can see at Amazon.com/compliance…there's information about the state…of compliance for the different verticals.…This often will be an important aspect…of your decision around your minimum…viable product for your website depending…if you have existing data and what vertical that you're in…to figure out what portion of your data…you're gonna put up on your website…or make available or how you're going…to connect to data on premise.…

All these considerations are really, really important…to think about early because obviously…you have to be in compliance.…Now once you figure out what kind of data you have…and you anticipate getting, then you have again,…

Author

Released

7/18/2016

Learn what you need to know to implement cloud-based big data solutions using the right mix of Amazon Web Services—from big data and cloud architect and AWS community hero Lynn Langit.

Starting with top-level categories of storage, data, computer, and services, Lynn guides you through planning your ideal AWS architecture, providing service demos using the AWS Console, command-line interface, and other tools. Learn when to use which service for which business case, such as Docker or Lambda or DynamoDB or Aurora? She shows how to script creation of services such as S3 buckets and EC2 instances, create and populate a managed data warehouse, and develop a data processing pipeline that works for you. Chapter 6 covers the AWS Internet of Things (IoT) services.

These exercises can help you build proof-of-concepts, minimum viable products, and deployable solutions to scale and support big data initiatives at your company.